def test_galsim_range_error():
"""Test basic usage of GalSimRangeError
"""
value = 2.3
err = galsim.GalSimRangeError("Test", value, 0, 1)
print('str = ', str(err))
print('repr = ', repr(err))
assert str(err) == "Test Value 2.3 not in range [0, 1]"
assert err.value == value
assert err.min == 0
assert err.max == 1
assert isinstance(err, galsim.GalSimError)
assert isinstance(err, ValueError)
do_pickle(err)
err = galsim.GalSimRangeError("Test", value, 10)
print('str = ', str(err))
print('repr = ', repr(err))
assert str(err) == "Test Value 2.3 not in range [10, None]"
assert err.value == value
assert err.min == 10
assert err.max == None
assert isinstance(err, galsim.GalSimError)
assert isinstance(err, ValueError)
do_pickle(err)
def _parse_SCAs(SCAs):
# This is a helper routine to parse the input SCAs (single number or iterable) and put it into a
# convenient format. It is used in wfirst_wcs.py.
#
# Check which SCAs are to be done. Default is all (and they are 1-indexed).
all_SCAs = np.arange(1, n_sca + 1, 1)
# Later we will use the list of selected SCAs to decide which ones we're actually going to do
# the calculations for. For now, just check for invalid numbers.
if SCAs is not None:
# Make sure SCAs is iterable.
if not hasattr(SCAs, '__iter__'):
SCAs = [SCAs]
# Then check for reasonable values.
if min(SCAs) <= 0 or max(SCAs) > galsim.wfirst.n_sca:
raise galsim.GalSimRangeError("Invalid SCA.", SCAs, 1, galsim.wfirst.n_sca)
# Check for uniqueness. If not unique, make it unique.
SCAs = list(set(SCAs))
else:
SCAs = all_SCAs
return SCAs